Abstract
The traditional beam selection algorithms determine the optimal beam direction by feeding back the perfect channel state information (CSI) in a millimeter wave (mmWave) massive Multiple-Input Multiple-Output (MIMO) system. Popular beam selection algorithms mostly focus on the methods of feedback and exhaustive search. In order to reduce the extra computational complexity coming from the redundant feedback and exhaustive search, a position fingerprint (PFP)-based mmWave multi-cell beam selection scheme is proposed in this paper. In the proposed scheme, the best beam identity (ID) and the strongest interference beam IDs from adjacent cells of each fingerprint spot are stored in a fingerprint database (FPDB), then the optimal beam and the strongest interference beams can be determined by matching the current PFP of the user equipment (UE) with the PFP in the FPDB instead of exhaustive search, and the orthogonal codes are also allocated to the optimal beam and the strongest interference beams. Simulation results show that the proposed PFP-based beam selection scheme can reduce the computational complexity and inter-cell interference and produce less feedback, and the system sum-rate for the mmWave heterogeneous networks is also improved.
Highlights
The rapid development of mobile services and the fast growth in the ownership of intelligent terminals demand an exponential growth in the wireless data rate
We propose a position fingerprint (PFP)-based millimeter wave (mmWave) multi-cell cooperation beam selection scheme, which needs less feedback and avoids high computational complexity caused by an exhaustive search, suppressing inter-cell interference in mmWave heterogeneous networks
We introduce a mmWave heterogeneous network with densely deployed mmWave access points (APs) in the coverage of some macrocells, where the macrocells operate at microwave frequency band and the mmWave APs operate at mmWave frequency band which are deployed for traffic offloading [23]
Summary
The rapid development of mobile services and the fast growth in the ownership of intelligent terminals demand an exponential growth in the wireless data rate. We propose a position fingerprint (PFP)-based mmWave multi-cell cooperation beam selection scheme, which needs less feedback and avoids high computational complexity caused by an exhaustive search, suppressing inter-cell interference in mmWave heterogeneous networks. This scheme can simplify the process of beam selection, but can avoid the process of CSI estimation and largely reduce the information feedback It can effectively suppress the interference among beams caused by adjacent cells. Simulation results show that the proposed scheme can achieve the near-optimal sum-rate performance and effectively avoid the beam interference caused by adjacent cells in cellular mmWave heterogeneous networks with densely deployed small cells.
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